[CI] Add nightly CI test cases for the Kimi-K2.5 (#7416)
### What this PR does / why we need it?
Add nightly CI test cases for the Kimi-K2.5.
- vLLM version: v0.17.0
- vLLM main:
4497431df6
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Signed-off-by: LoganJane <loganJane73@hotmail.com>
Signed-off-by: LoganJane <42287016+LoganJane@users.noreply.github.com>
This commit is contained in:
@@ -261,6 +261,9 @@ jobs:
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- name: kimi-k2-thinking
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os: linux-aarch64-a3-16
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config_file_path: Kimi-K2-Thinking.yaml
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- name: kimi-k2.5
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os: linux-aarch64-a3-16
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config_file_path: Kimi-K2.5.yaml
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- name: minimax-m2-5
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os: linux-aarch64-a3-16
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config_file_path: MiniMax-M2.5-A3.yaml
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62
tests/e2e/nightly/single_node/models/configs/Kimi-K2.5.yaml
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62
tests/e2e/nightly/single_node/models/configs/Kimi-K2.5.yaml
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@@ -0,0 +1,62 @@
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# ==========================================
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# Shared Configurations
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# ==========================================
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_envs: &envs
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HCCL_BUFFSIZE: "512"
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SERVER_PORT: "DEFAULT_PORT"
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HCCL_OP_EXPANSION_MODE: "AIV"
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OMP_PROC_BIND: "false"
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OMP_NUM_THREADS: "1"
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PYTORCH_NPU_ALLOC_CONF: "expandable_segments:True"
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VLLM_ASCEND_BALANCE_SCHEDULING: "1"
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_server_cmd: &server_cmd
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- "--enable-expert-parallel"
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- "--tensor-parallel-size"
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- "8"
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- "--data-parallel-size"
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- "2"
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- "--port"
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- "$SERVER_PORT"
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- "--max-model-len"
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- "8192"
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- "--max-num-batched-tokens"
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- "8192"
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- "--max-num-seqs"
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- "32"
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- "--async-scheduling"
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- "--quantization"
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- "ascend"
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- "--trust-remote-code"
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- "--gpu-memory-utilization"
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- "0.9"
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- "--additional-config"
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- '{"multistream_overlap_shared_expert":true}'
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_benchmarks: &benchmarks
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acc:
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case_type: accuracy
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dataset_path: vllm-ascend/gsm8k-lite
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request_conf: vllm_api_general_chat
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dataset_conf: gsm8k/gsm8k_gen_0_shot_cot_chat_prompt
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max_out_len: 4096
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batch_size: 8
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baseline: 95
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threshold: 5
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# ==========================================
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# ACTUAL TEST CASES
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# ==========================================
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test_cases:
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- name: "Kimi-K2.5-W4A8-TP8-DP2-Case"
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model: "Eco-Tech/Kimi-K2.5-W4A8"
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envs:
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<<: *envs
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server_cmd: *server_cmd
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server_cmd_extra:
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- "--compilation-config"
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- '{"cudagraph_capture_sizes": [1,2,4,8,16,32], "cudagraph_mode": "FULL_DECODE_ONLY"}'
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benchmarks:
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<<: *benchmarks
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